Study finds AI screening for OUD led to fewer hospital readmissions
The National Institutes of Health April 3 released a study that found an artificial intelligence screening tool was as effective as health care providers in identifying hospitalized adults at risk for opioid use disorder and referring them to inpatient addiction specialists. When compared with patients who received consultations with providers, patients screened by AI had 47% lower odds of hospital readmission within 30 days after their initial discharge, saving nearly $109,000 in care costs.
Related News Articles
Headline
The AHA’s Bridge to Care initiative highlights how hospitals and health systems are strengthening care transitions and supporting ongoing treatment engagement…
Headline
The Department of Health and Human Services July 22 announced that it will participate in the Genesis Mission, an artificial intelligence initiative focusing…
Headline
Edward You, former FBI Supervisory Special Agent and founder of EHY Consulting, explains why healthcare organizations must look beyond artificial intelligence…
Headline
Following an introduction from Michelle Hood, AHA executive vice president and COO, moderator Chris DeRienzo, M.D., AHA senior vice president and chief…
Headline
Heidi Bray, DNP, nurse practitioner and hospitalist at Providence St. Peter Hospital, explores how hospitals can improve opioid use disorder treatment through…
Headline
During a panel discussion July 12 on scaling innovation, moderator Joy Rhoden, senior vice president and executive director of the AHA’s…